Resources for Self-Learning — how quantum indeterminacy produces true randomness
Classical computers can only ever produce pseudo-random numbers — deterministic sequences seeded by an initial value. A Quantum Random Number Generator (QRNG) instead draws on the fundamentally probabilistic nature of quantum measurement — photon arrival times, vacuum fluctuations, qubit superposition collapse — to generate numbers that are provably, not just statistically, unpredictable. This matters because nearly every cryptographic system depends on a source of genuine entropy for its keys.
This page collects explainers, peer-reviewed research, and commercial QRNG hardware
Nanalyze — an accessible primer on QRNG hardware and the vendors building it.
JSTOR Daily (Sidney Perkowitz) — the history of randomness, from dice to NIST's entangled-photon generator.
Microsoft Learn — hands-on Q# tutorial building a QRNG from qubit superposition and measurement.
Janusz E. Jacak — Scientific Reports, on entanglement-based QRNG for public randomness beacons.
Drahi et al. — Physical Review X; an 8.05 Gb/s certified generator using an untrusted photonic source.
Min Huang et al. — Entropy (MDPI), on Gaussian vacuum-noise-based QRNG design.
Jason T. Francis et al. — Quantum Science and Technology, on a compact plasmonic-waveguide QRNG.
Kentaro Tamura & Yutaka Shikano — IACR ePrint, testing QRNG output from a real superconducting quantum computer.
Ziyong Zheng et al. — Optics Express, a 4.2 Gbps vacuum-fluctuation-based bias-free QRNG.
QNu Labs — laser-based, time-of-arrival QRNG hardware for high-throughput key generation.
World's first commercial QRNG vendor (2001) — the Quantis product line across chip, PCIe, and appliance formats.
High-speed quantum true random number generation and entropy-as-a-service for enterprise key management.
Quantum Base — a resonant-tunnelling-diode QRNG designed for microelectronic integration.
NIST SP 800-90B compliant QRNG appliance delivering security-grade quantum entropy at 280 Mb/s.
EU Quantum Flagship project developing next-generation commercial QRNG prototypes.